Browsing by Subject "pathways"

Now showing 1 - 3 of 3
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    Convergent Functional Genomics of Schizophrenia: From Comprehensive Understanding to Genetic Risk Prediction
    (Office of the Vice Chancellor for Research, 2012-04-13) Ayalew, M.; Le-Niculescu, H.; Levey, D.F.; Jain, N.; Changala, B.; Patel, S.D.; Winiger, E.; Breier, A.; Shekhar, A.; Amdur, R.; Koller, D.; Nurnberger, J.I.; Corvin, A.; Geyer, M.; Tsuang, M.T.; Salomon, D.; Schork, N.; Fanous, A.H.; O’ Donovan, M.C.; Niculescu, A.B.
    We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study (GWAS) data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRN2B, HTR2A, NRG1, RELN, SNAP-25, TNIK), brain development, myelination, cell adhesion, glutamate receptor signaling, G-protein coupled receptor signaling and cAMP- mediated signaling as key to pathophysiology and as targets for therapeutic intervention. Overall, the data is consistent with a model of disrupted connectivity in schizophrenia, resulting from the effects of neurodevelopmental environmental stress on a background of genetic vulnerability. In addition, we show how the top candidate genes identified by CFG can be used to generate a genetic risk prediction score (GRPS) to aid schizophrenia diagnostics, with predictive ability in independent cohorts. The GRPS also differentiates classic age of onset schizophrenia from early onset and late-onset disease. We also show, in three independent cohorts, two European-American (EA) and one African-American (AA), increasing overlap, reproducibility and consistency of findings from SNPs to genes, then genes prioritized by CFG, and ultimately at the level of biological pathways and mechanisms. Lastly, we compared our top candidate genes for schizophrenia from this analysis with top candidate genes for bipolar disorder and anxiety disorders from previous CFG analyses conducted by us, as well as findings from the fields of autism and Alzheimer. Overall, our work maps the genomic and biological landscape for schizophrenia, providing leads towards a better understanding of illness, diagnostics, and therapeutics. It also reveals the significant genetic overlap with other major psychiatric disorder domains, suggesting the need for improved nosology.
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    Gene-based GWAS and -biological pathway analysis of the resilience of executive functioning
    (Springer US, 2014-03) Mukherjee, Shubhabrata; Kim, Sungeun; Ramanan, Vijay K.; Gibbons, Laura E.; Nho, Kwangsik; Glymour, M. Maria; Ertekin-Taner, Nilüfer; Montine, Thomas J.; Saykin, Andrew J.; Crane, Paul K.; Alzheimer’s Disease Neuroimaging Initiative; Department of Radiology and Imaging Sciences, School of Medicine
    Resilience in executive functioning (EF) is characterized by high EF measured by neuropsychological test performance despite structural brain damage from neurodegenerative conditions. We previously reported single nucleotide polymorphism (SNP) genome-wide association study (GWAS) results for EF resilience. Here, we report gene- and pathway-based analyses of the same resilience phenotype, using an optimal SNP-set (Sequence) Kernel Association Test (SKAT) for gene-based analyses (conservative threshold for genome-wide significance = 0.05/18,123=2.8×10−6) and the gene-set enrichment package GSA-SNP for biological pathway analyses (False discovery rate (FDR) < 0.05). Gene-based analyses found a genome-wide significant association between RNASE13 and EF resilience (p=1.33×10−7). Genetic pathways involved with dendritic/neuron spine, presynaptic membrane, postsynaptic density etc. were enriched with association to EF resilience. Although replication of these results is necessary, our findings indicate the potential value of gene- and pathway-based analyses in research on determinants of cognitive resilience.
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    Hope, Goals, and Pathways: Further Validating the Hope Scale with Observer Ratings
    (Taylor & Francis, 2019) Cheavens, Jennifer S.; Heiy, Jane E.; Feldman, David B.; Benitez, Cinthia; Rand, Kevin L.; Psychology, School of Science
    Objective: For the past two decades, hope theory has been an important framework for conceptualizing goal pursuits. Surprisingly there has been little effort to test the underlying suppositions of hope theory or to further validate the Hope Scale. Method: In Study 1, participants (N = 162, Mage = 19, 61% female) completed the Hope Scale and nominated goals they would like to accomplish in the next few months. Goals were coded on several dimensions. In Study 2, participants (N = 118, Mage = 19, 59% female) completed the Hope Scale, measures of optimism and self-efficacy, and generated workable pathways for achieving standardized goals. Results: Hope scores predicted setting objectively important, prosocial, long-term, and challenging goals. Hope (but not optimism or self-efficacy) was associated with generating more pathways for standardized goals. Conclusions: The results of these studies generally support the tenets of hope theory and provide further validation for the Hope Scale. As expected, people with higher hope were more likely than their lower-hope counterparts to engage in what has been considered successful goal-setting behavior. Hope is associated with important goal-relevant behaviors and efforts to increase hopeful thought may be important in helping individuals to move toward important life outcomes.